Decreasing Energy Functions and Lengths of Transients for Some Cellular Automata
نویسندگان
چکیده
Th e work of Ghiglia, Masti n, an d Rom ero on a "p hase-unwrapping" algorith m gives rise to the following operation : for any undirect ed graph with a rbitra ry int eger values attached to the verti ces, simultaneous upd at es are perform ed on these values, with t he value of a verte x being cha nged by one in th e direction of th e average of t he values of the adjace nt vert ices. (When t he average equals t he value of a vertex, th e val ue of th e ver tex is incremented by one, unless all the neighbors have th e same value, in which case no change is made.] Ea rlier work of Odlyzko and Rand all showed that iterat ing t his operation always leads to a cycle of length one or two, bu t did not give a bound on how ma ny iterations might be needed to reach such a cycle. T his paper int rodu ces a new "energy funct ion" which does yield a bound for the t rans ient. A novel feature of this energy is that it contains not only linea r an d bilinea r ter ms, as is common, but also terms involving th e minimum function. 1. In t r o d u c ti on Let G b e an undirected graph with ve rt ices lab elled 1,. .. , n, and su pp ose t hat for each i, an integer Xi (O) is as sign ed at time 0 to vertex i. A se ries of sy nch ro nous updates is p er formed on t hese val ue s with t he rule that if Xi (t) is the valu e o f vertex i at t ime t, t hen { Xi(t)-1 if Silt) < 0, Xi(t + 1) = Xi(t) if Xj(t) = Xi(t) for all j E J i , Xi(t) + 1 other wise, "Sup ported partially by AT&T Bell Labor a tori es and Fondo Naciona l de Ciencias de Chile 86·8 7, Sa nt iago, Chile.
منابع مشابه
Novel efficient fault-tolerant full-adder for quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are an emerging technology and a possible alternative for semiconductor transistor based technologies. A novel fault-tolerant QCA full-adder cell is proposed: This component is simple in structure and suitable for designing fault-tolerant QCA circuits. The redundant version of QCA full-adder cell is powerful in terms of implementing robust digital functions. ...
متن کاملFault-tolerant adder design in quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are an emerging technology and a possible alternative for faster speed, smaller size, and low power consumption than semiconductor transistor based technologies. Previously, adder designs based on conventional designs were examined for implementation with QCA technology. This paper utilizes the QCA characteristics to design a fault-tolerant adder that is more...
متن کاملRobot Path Planning Using Cellular Automata and Genetic Algorithm
In path planning Problems, a complete description of robot geometry, environments and obstacle are presented; the main goal is routing, moving from source to destination, without dealing with obstacles. Also, the existing route should be optimal. The definition of optimality in routing is the same as minimizing the route, in other words, the best possible route to reach the destination. In most...
متن کاملNovel efficient fault-tolerant full-adder for quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are an emerging technology and a possible alternative for semiconductor transistor based technologies. A novel fault-tolerant QCA full-adder cell is proposed: This component is simple in structure and suitable for designing fault-tolerant QCA circuits. The redundant version of QCA full-adder cell is powerful in terms of implementing robust digital functions. ...
متن کاملFault-tolerant adder design in quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are an emerging technology and a possible alternative for faster speed, smaller size, and low power consumption than semiconductor transistor based technologies. Previously, adder designs based on conventional designs were examined for implementation with QCA technology. This paper utilizes the QCA characteristics to design a fault-tolerant adder that is more...
متن کاملImproved Frog Leaping Algorithm Using Cellular Learning Automata
In this paper, a new algorithm which is the result of the combination of cellular learning automata and frog leap algorithm (SFLA) is proposed for optimization in continuous, static environments.At the proposed algorithm, each memeplex of frogs is placed in a cell of cellular learning automata. Learning automata in each cell acts as the brain of memeplex, and will determine the strategy of moti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Complex Systems
دوره 2 شماره
صفحات -
تاریخ انتشار 1988